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SC1102 - Modelling Natural Systems

Credit points: 3
Year: 2014
Student Contribution Band: Band 2
Administered by: School of Engineering (pre 2015)

By providing the bridge between theory and practice this subject will demonstrate how quantitative methods can be used to solve real world problems and enable scientists with a deeper understanding of system processes. This subject will be presented by a series of motivating and in depth case studies that span a range of biophysical settings with an emphasis on applications relevant to tropical systems. Computing technologies will assist with numerical calculations and practical presentations.

Learning Outcomes

  • through effective application of quantitative techniques, empower students with ability to enhance their knowledge of real world systems and solve real world practical problems;
  • equip students with the capability of translating between verbal, algebraic, numerical, visual and conceptual characterisation of a system;
  • demonstrate the advantages of being quantitatively skilled in a scientific environment;
  • demonstrate the accessibility of mathematics and increase student familiarity with associated terminology.
Prerequisites: MA1020 or Senior Mathematics or equivalent and allow concurrent enrolment for MA1020

Availabilities

Townsville, Internal, Study Period 2
Census Date 28-Aug-2014
Coordinator: Assoc. Professor Yvette Everingham
Lecturers: Professor Sean Connolly, Assoc. Professor Yvette Everingham.
Workload expectations:
  • 26 hours lectures
  • 26 hours tutorials
  • 3 hours - Class tests to be held in normal lecture room.
Assessment: end of semester exam (% - 60%); quizzes or tests (15% - 75%); assignments (25%).

Cairns, Internal, Study Period 2
Census Date 28-Aug-2014
Coordinator: Mr Jeremy Gordon
Lecturers: Mr Jeremy Gordon, Assoc. Professor Jamie Seymour.
Workload expectations:
  • 26 hours lectures
  • 26 hours tutorials
  • 3 hours
Assessment: end of semester exam (60%); quizzes or tests (30%); assignments (10%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.